https://m2.mtmt.hu/ eng 2026-05-21 07:22 true true 1 4 4 1 100 1 4 DESC publishedYear false ASC firstAuthor true ASC title true JournalArticle 31056733 APPROVED true Export Date: 4 August 2021 CODEN: IJUSF Funding details: Magyar Tudományos Akadémia, MTA Funding text 1: This research was supported by the János Bolyai Research Fellowship program of the Hungarian Academy of Sciences. 0 false 2026-05-19T16:27:41.341+0000 2025-03-19T07:59:25.026+0000 2020-01-09T00:56:08.765+0000 true 565 WoS import /api/admin/565 Admin true 2025-04-14T12:31:15.653+0000 2025-04-14T12:31:15.653+0000 true false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType 101 true 10000059 true 1 /api/category/1 Category true 1 Szilagyi, Laszlo Self-Tuning Possibilistic c-Means Clustering Models true true /api/journal/12890 REVIEWED true false 12890 false 12890 true 0218-4885 1793-6411 Journal FOREIGN 27 142 158 142 17 2019 The relaxation of the probabilistic constraint of the fuzzy c-means clustering model was proposed to provide robust algorithms that are insensitive to strong noise and outlier data. These goals were achieved by the possibilistic c-means (PCM) algorithm, but these advantages came together with a sensitivity to cluster prototype initialization. According to the original recommendations, the probabilistic fuzzy c-means (FCM) algorithm should be applied to establish the cluster initialization and possibilistic penalty terms for PCM. However, when FCM fails to provide valid cluster prototypes due to the presence of noise, PCM has no chance to recover and produce a fine partition. This paper proposes a two-stage c-means clustering algorithm to tackle with most problems enumerated above. In the first stage called initialization, FCM with two modifications is performed: (1) extra cluster added for noisy data; (2) extra variable and constraint added to handle clusters of various diameters. In the second stage, a modified PCM algorithm is carried out, which also contains the cluster width tuning mechanism based on which it adaptively updates the possibilistic penalty terms. The proposed algorithm has less parameters than PCM when the number of clusters is c > 2. Numerical evaluation involving synthetic and standard test data sets proved the advantages of the proposed clustering model. 2020 true true true false false NONE 2026-05-19 false 4 0 4 3 1 4 4 4 2 4 4 3 3 3 1 0 4 3 4 3 0 7 7 Q2 false false false false 2025-03-12T14:30:21.579+0000 Élettani Szabályozások Kutatóközpont (ÓE / EKIK) 3 15 1 3 0 true Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 89886631 /api/authorship/89886631 1 0.33333334 true false true Author 10013789 /api/author/10013789 Szilágyi László true 10013789 true Szilagyi Laszlo true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 89886632 /api/authorship/89886632 2 0.33333334 false false false Author 10063340 /api/author/10063340 Lefkovits Szidónia true 10063340 true Lefkovits Szidonia true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 89886633 /api/authorship/89886633 3 0.33333334 false true false Author 10041892 /api/author/10041892 Szilágyi Sándor Miklós true 10041892 true Szilagyi Sandor M. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 16384696 /api/publicationidentifier/16384696 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1142/S0218488519400075 https://doi.org/10.1142/S0218488519400075 false true PublicationIdentifier 16384695 /api/publicationidentifier/16384695 PlainSource 1 /api/publicationsource/1 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 000495443400008 https://www.webofscience.com/wos/woscc/full-record/000495443400008 false true PublicationIdentifier 19063861 /api/publicationidentifier/19063861 PlainSource 3 /api/publicationsource/3 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85074650404 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85074650404 false true Classification 10034 /api/classification/10034 true true Keyword 1012212 /api/keyword/1012212 true 1012212 true Keyword 1889757 /api/keyword/1889757 true true Keyword 1889758 /api/keyword/1889758 true true Keyword 1889759 /api/keyword/1889759 true true Keyword 1889760 /api/keyword/1889760 true true Keyword 1889761 /api/keyword/1889761 true true SjrRating 10775079 /api/sjrrating/10775079 125 0.49 journal RatingType 10002 /api/ratingtype/10002 sjr true true ClassificationExternal 2207 /api/classificationexternal/2207 true 2207 true Q2 DIRECT true true /api/publication/31056733 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10013789"><a href="/gui2/?type=authors&mode=browse&sel=10013789" target="_blank">Szilagyi Laszlo ✉ (<span class="authorship-author-name">Szilágyi László</span> <span class="authorAux-mtmt"> Villamosmérnöki tudományok</span>) </a> </span> <span class="author-affil"><span title="Óbuda University">ÓU</span>/<span title="Egyetemi Kutató, Innovációs és Szolgáltató Központ">EKIK</span>/Élettani Szabályozások Kutatóközpont</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10063340"><a href="/gui2/?type=authors&mode=browse&sel=10063340" target="_blank">Lefkovits Szidonia (<span class="authorship-author-name">Lefkovits Szidónia</span> <span class="authorAux-mtmt"> Informatika</span>) </a> </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10041892"><a href="/gui2/?type=authors&mode=browse&sel=10041892" target="_blank">Szilagyi Sandor M. (<span class="authorship-author-name">Szilágyi Sándor Miklós</span> <span class="authorAux-mtmt"> Jelfeldolgozás</span>) </a> </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;31056733" target="_blank">Self-Tuning Possibilistic c-Means Clustering Models</a></div> <div> <span class="journal-title">INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/0218-4885">0218-4885</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1793-6411">1793-6411</a>)</span>: <span class="journal-volume">27</span> <span class="page"> pp 142-158 </span> <span class="year">(2019)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1142/S0218488519400075" target="_blank" href="https://doi.org/10.1142/S0218488519400075"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000495443400008" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000495443400008"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85074650404" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85074650404"> Scopus </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Journal subject: Scopus - Control and Systems Engineering&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q2</div> <div class="journal-subject">Journal subject: Scopus - Artificial Intelligence&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q3</div> <div class="journal-subject">Journal subject: Scopus - Information Systems&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q3</div> <div class="journal-subject">Journal subject: Scopus - Software&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q3</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="" class="citingPub-count">Citing papers: 4</span> | Independent citation: 3 | Self citation: 1 | Unknown citation: 0 | Number of citations in WoS: 4 | Number of citations in Scopus:&nbsp;2 | WoS/Scopus assigned:&nbsp;4 | Number of citations with DOI:&nbsp;4 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;31056733&sort=publishedYear,desc&sort=title"> Number of cited publications: 7 </a> </div> <div class="mtid"><span class="long-pub-mtid">Publication: 31056733</span> | <span class="status-data status-APPROVED"> Published </span> Core Citing | <span class="type-subtype">Journal Article ( Article ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">WoS-XML</span> </div> <div class="lastModified">Last Modified: 2025.03.19. 08:59 Zsuzsa Tamássyné T. (OE admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Comments</u>: Export Date: 4 August 2021 CODEN: IJUSF Funding details: Magyar Tudományos Akadémia, MTA Funding text 1: This research was supported by the János Bolyai Research Fellowship program of the Hungarian Academy of Sciences.</pre> </div></div> JournalArticle 2992199 VALIDATED true MTA-SZTE Research Group on Artificial Intelligence of the Hungarian Academy of Sciences and University of Szeged, Tisza Lajos krt. 103, Szeged, H-6720, Hungary Dept. of Control Engineering and Information Technology, Budapest University of Technology and Economics, Hungary Computational Intelligence Research Group, Dept. of Electrical Engineering, Sapientia University of Transylvania, Tîrgu Mureş, Romania Cited By :8 Export Date: 12 February 2021 Funding details: PD103921 0 2018-03-23T08:08:03.000+0000 false 2992199 2026-05-17T03:58:06.193+0000 2020-09-29T07:46:56.463+0000 2016-01-06T13:46:55.000+0000 true 10022623 Gosztolya Gábor /api/author/10022623 Author true 10022623 2026-01-13T11:53:36.854+0000 2026-01-13T11:53:36.854+0000 2018-03-23T08:08:03.000+0000 true 10033178 Farkas Anikó /api/admin/10033178 Admin true 10033178 2025-03-20T16:52:05.306+0000 true 521 Szuper Admin /api/admin/521 Admin true true false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType 101 true 10000059 true 1 /api/category/1 Category true 1 Gosztolya, G Application of fuzzy and possibilistic c-means clustering models in blind speaker clustering true true /api/journal/2149438 REVIEWED true true 2149438 false 2149438 true 1785-8860 1785-8860 Journal FOREIGN 12 7 41 56 41 16 2015 2016 805218 false true true false true false GOLD GOLD 2026-05-17 true https://doi.org/10.12700/aph.12.7.2015.7.3 14 0 14 9 5 11 11 11 13 13 13 8 8 9 5 0 14 9 14 9 0 6 6 Q1 A false false false false 2018-03-23T08:08:03.000+0000 2016-01-08T12:12:22.000+0000 MTA-SZTE Mesterséges Intelligencia Kutatócsoport (SZTE / TTIK / ITCS) 2 25 1 2 0 true Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 6956268 /api/authorship/6956268 1 0.5 true false Author 10022623 /api/author/10022623 Gosztolya Gábor true 10022623 true Gosztolya G true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false 22899305 true PersonAuthorship 6956269 /api/authorship/6956269 2 0.5 false true Author 10013789 /api/author/10013789 Szilágyi László true 10013789 true Szilágyi L true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false 22899304 true PublicationIdentifier 17777009 /api/publicationidentifier/17777009 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true GOLD true 10.12700/aph.12.7.2015.7.3 https://doi.org/10.12700/aph.12.7.2015.7.3 true true PublicationIdentifier 1050669 /api/publicationidentifier/1050669 PlainSource 1 /api/publicationsource/1 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true false IDENTICAL 000366994500003 https://www.webofscience.com/wos/woscc/full-record/000366994500003 false 1464779 true PublicationIdentifier 1050670 /api/publicationidentifier/1050670 PlainSource 3 /api/publicationsource/3 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true false IDENTICAL 84948762013 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-84948762013 false 1274948 true PublicationIdentifier 1050671 /api/publicationidentifier/1050671 SwordSource 90 /api/publicationsource/90 PublicationSourceType 10007 /api/publicationsourcetype/10007 true true true SZTE Publicatio SZTE Publicatio http://publicatio.bibl.u-szeged.hu/@@@ true true 90 true GREEN true IDENTICAL 6151 http://publicatio.bibl.u-szeged.hu/6151 false 1301125 true Classification 11082 /api/classification/11082 true true Classification 10799 /api/classification/10799 true true MtaRating 11435580 /api/mtarating/11435580 RatingType 10031 /api/ratingtype/10031 X. 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Földtudományok Osztálya HAS Section of Earth Sciences (X.) true 70 true true true A true true SjrRating 11041760 /api/sjrrating/11041760 18 0.24 journal RatingType 10002 /api/ratingtype/10002 sjr true true ClassificationExternal 1000 /api/classificationexternal/1000 true 1000 true Q1 DIRECT true true /api/publication/2992199 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10022623"><a href="/gui2/?type=authors&mode=browse&sel=10022623" target="_blank">Gosztolya G (<span class="authorship-author-name">Gosztolya Gábor</span> <span class="authorAux-mtmt"> mesterséges intelligencia</span>) </a> </span> <span class="author-affil"><span title="University of Szeged">SZTE</span>/<span title="Faculty of Science and Informatics">TTIK</span>/<span title="Insitute of Informatics">ITCS</span>/Research Group of Artificial Intelligence</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10013789"><a href="/gui2/?type=authors&mode=browse&sel=10013789" target="_blank">Szilágyi L (<span class="authorship-author-name">Szilágyi László</span> <span class="authorAux-mtmt"> Villamosmérnöki tudományok</span>) </a> </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;2992199" target="_blank">Application of fuzzy and possibilistic c-means clustering models in blind speaker clustering</a></div> <div> <span class="journal-title">ACTA POLYTECHNICA HUNGARICA</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/1785-8860">1785-8860</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1785-8860">1785-8860</a>)</span>: <span class="journal-volume">12</span> <span class="journal-issue">7</span> <span class="page"> pp 41-56 </span> <span class="year">(2015)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:black" title="10.12700/aph.12.7.2015.7.3" target="_blank" href="https://doi.org/10.12700/aph.12.7.2015.7.3"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000366994500003" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000366994500003"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="84948762013" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-84948762013"> Scopus </a> </span> <span class="id identifier oa_GREEN" title=" Green "> <a style="color:blue" title="6151" target="_blank" href="http://publicatio.bibl.u-szeged.hu/6151"> SZTE Publicatio </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Journal subject: Scopus - Multidisciplinary&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q1</div> <div class="journal-subject">Journal subject: Scopus - Engineering (miscellaneous)&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q2</div> <div class="journal-subject">HAS Section of Earth Sciences (X.) HASSESX&nbsp;&nbsp;&nbsp;A</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="" class="citingPub-count">Citing papers: 14</span> | Independent citation: 9 | Self citation: 5 | Unknown citation: 0 | Number of citations in WoS: 11 | Number of citations in Scopus:&nbsp;13 | WoS/Scopus assigned:&nbsp;13 | Number of citations with DOI:&nbsp;11 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;2992199&sort=publishedYear,desc&sort=title"> Number of cited publications: 6 </a> </div> <div class="mtid"><span class="long-pub-mtid">Publication: 2992199</span> | <span class="status-data status-VALIDATED"> Validated </span> <span class="oldId">Old id: 2992199</span> | Core Citing | <span class="type-subtype">Journal Article ( Article ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="lastModified">Last Modified: 2020.09.29. 09:46 Zsuzsa Hostyánszki (BME admin 5 - INAKTÍV) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Comments</u>: MTA-SZTE Research Group on Artificial Intelligence of the Hungarian Academy of Sciences and University of Szeged, Tisza Lajos krt. 103, Szeged, H-6720, Hungary Dept. of Control Engineering and Information Technology, Budapest University of Technology and Economics, Hungary Computational Intelligence Research Group, Dept. of Electrical Engineering,...</pre> </div></div> JournalArticle 2698866 VALIDATED true Sapientia University of Transylvania, Faculty of Technical and Human Sciences, 540485 Tîrgu Mureş, Şoseaua Sighişoarei 1/C, Romania Budapest University of Technology and Economics, Department of Control Engineering and Information Technology, H-1117 Budapest, Magyar tudósok krt. 2, Hungary Petru Maior University, Department of Informatics, 540088 Tîrgu Mureş, Str. Nicolae Iorga Nr. 1, Romania Export Date: 13 March 2025; Cited By: 31; Correspondence Address: S.M. Szilágyi; Petru Maior University, Department of Informatics, 540088 Tîrgu Mureş, Str. Nicolae Iorga Nr. 1, Romania; email: szsandor72@yahoo.com; CODEN: NRCGE 0 2018-10-02T08:54:25.000+0000 false 2698866 2026-05-16T11:17:37.096+0000 2018-10-11T07:24:09.466+0000 2014-05-14T14:17:00.000+0000 true 10013789 Szilágyi László /api/author/10013789 Author true 10013789 2026-01-13T11:54:08.032+0000 2026-01-13T11:54:08.032+0000 2016-03-02T09:47:29.000+0000 true 10039288 Szmolyán Mária /api/admin/10039288 Admin true 10039288 2016-03-02T09:47:29.000+0000 true 10039288 Szmolyán Mária /api/admin/10039288 Admin true 10039288 true false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType 101 true 10000059 true 1 /api/category/1 Category true 1 Szilágyi, L Generalization rules for the suppressed fuzzy c-means clustering algorithm true true /api/journal/3347 REVIEWED true false 3347 false 3347 true 0925-2312 1872-8286 Journal FOREIGN 139 298 309 298 12 2014 Intending to achieve an algorithm characterized by the quick convergence of hard c-means (HCM) and finer partitions of fuzzy c-means (FCM), suppressed fuzzy c-means (s-FCM) clustering was designed to augment the gap between high and low values of the fuzzy membership functions. Suppression is produced via modifying the FCM iteration by creating a competition among clusters: for each input vector, lower degrees of membership are proportionally reduced, being multiplied by a previously set constant suppression rate, while the largest fuzzy membership grows to maintain the probabilistic constraint. Even though so far it was not treated as an optimal algorithm, it was employed in a series of applications, and reported to be accurate and efficient in various clustering problems. In this paper we introduce some generalized formulations of the suppression rule, leading to an infinite number of new clustering algorithms. Further on, we identify the close relation between s-FCM clustering models and the so-called FCM algorithm with generalized improved partition (GIFP-FCM). Finally we reveal the constraints under which the generalized s-FCM clustering models minimize the objective function of GIFP-FCM, allowing us to call our suppressed clustering models optimal. Based on a large amount of numerical tests performed in multidimensional environment, several generalized forms of suppression proved to give more accurate partitions than earlier solutions, needing significantly less iterations than the conventional FCM. 2014 805309 true true true false true false PAY 2026-05-16 false true 10039288 Szmolyán Mária /api/admin/10039288 Admin true 10039288 35 0 35 25 10 33 31 28 29 32 32 22 22 25 10 0 35 25 35 25 0 3 3 Q1 false false false false 2016-03-02T09:47:29.000+0000 2014-06-23T17:04:30.000+0000 Irányítástechnika és Informatika Tanszék (BME / VIK) 2 14 1 2 0 true Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 5366306 /api/authorship/5366306 1 0.9 true false Author 10013789 /api/author/10013789 Szilágyi László true 10013789 true Szilágyi L true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false 20065603 true PersonAuthorship 5366307 /api/authorship/5366307 2 0.1 false true Author 10041892 /api/author/10041892 Szilágyi Sándor Miklós true 10041892 true Szilágyi SM true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false 20065602 true PublicationIdentifier 869745 /api/publicationidentifier/869745 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true PAY true IDENTICAL 10.1016/j.neucom.2014.02.027 https://doi.org/10.1016/j.neucom.2014.02.027 false 895616 true PublicationIdentifier 869746 /api/publicationidentifier/869746 PlainSource 27 /api/publicationsource/27 PublicationSourceType 10004 /api/publicationsourcetype/10004 false true true ScienceDirect ScienceDirect http://www.sciencedirect.com/science/article/pii/@@@ true true 27 true false NO S0925231214004263 http://www.sciencedirect.com/science/article/pii/S0925231214004263 false 895617 true PublicationIdentifier 869743 /api/publicationidentifier/869743 PlainSource 1 /api/publicationsource/1 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true false IDENTICAL 000337661800028 https://www.webofscience.com/wos/woscc/full-record/000337661800028 false 944910 true PublicationIdentifier 869744 /api/publicationidentifier/869744 PlainSource 3 /api/publicationsource/3 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true false IDENTICAL 84901014957 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-84901014957 false 1261100 true Classification 10034 /api/classification/10034 true true SjrRating 11069283 /api/sjrrating/11069283 117 0.24 journal RatingType 10002 /api/ratingtype/10002 sjr true true ClassificationExternal 1706 /api/classificationexternal/1706 true 1706 true Q1 DIRECT true true /api/publication/2698866 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10013789"><a href="/gui2/?type=authors&mode=browse&sel=10013789" target="_blank">Szilágyi L (<span class="authorship-author-name">Szilágyi László</span> <span class="authorAux-mtmt"> Villamosmérnöki tudományok</span>) </a> </span> <span class="author-affil"><span title="Budapest University of Technology and Economics">BUTE</span>/<span title="Faculty of Electrical Engineering and Informatics">FEEI</span>/Department of Control Engineering and Information Technology</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10041892"><a href="/gui2/?type=authors&mode=browse&sel=10041892" target="_blank">Szilágyi SM (<span class="authorship-author-name">Szilágyi Sándor Miklós</span> <span class="authorAux-mtmt"> Jelfeldolgozás</span>) </a> </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;2698866" target="_blank">Generalization rules for the suppressed fuzzy c-means clustering algorithm</a></div> <div> <span class="journal-title">NEUROCOMPUTING</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/0925-2312">0925-2312</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1872-8286">1872-8286</a>)</span>: <span class="journal-volume">139</span> <span class="page"> pp 298-309 </span> <span class="year">(2014)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_PAY" title=" Pay "> <a style="color:blue" title="10.1016/j.neucom.2014.02.027" target="_blank" href="https://doi.org/10.1016/j.neucom.2014.02.027"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="S0925231214004263" target="_blank" href="http://www.sciencedirect.com/science/article/pii/S0925231214004263"> ScienceDirect </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000337661800028" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000337661800028"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="84901014957" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-84901014957"> Scopus </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Journal subject: Scopus - Computer Science Applications&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q1</div> <div class="journal-subject">Journal subject: Scopus - Artificial Intelligence&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q2</div> <div class="journal-subject">Journal subject: Scopus - Cognitive Neuroscience&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q3</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="" class="citingPub-count">Citing papers: 35</span> | Independent citation: 25 | Self citation: 10 | Unknown citation: 0 | Number of citations in WoS: 28 | Number of citations in Scopus:&nbsp;29 | WoS/Scopus assigned:&nbsp;32 | Number of citations with DOI:&nbsp;31 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;2698866&sort=publishedYear,desc&sort=title"> Number of cited publications: 3 </a> </div> <div class="mtid"><span class="long-pub-mtid">Publication: 2698866</span> | <span class="status-data status-VALIDATED"> Validated </span> <span class="oldId">Old id: 2698866</span> | Core Citing | <span class="type-subtype">Journal Article ( Article ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Last Modified: 2018.10.11. 09:24 import WoS (admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Comments</u>: Sapientia University of Transylvania, Faculty of Technical and Human Sciences, 540485 Tîrgu Mureş, Şoseaua Sighişoarei 1/C, Romania Budapest University of Technology and Economics, Department of Control Engineering and Information Technology, H-1117 Budapest, Magyar tudósok krt. 2, Hungary Petru Maior University, Department of Informatics, 540088 ...</pre> </div></div> BookChapter 3344749 APPROVED true Export Date: 13 March 2025; Cited By: 26; Correspondence Address: L. Szilágyi; Faculty of Technical and Human Science, Sapientia - Hungarian Science University of Transylvania, Tîrgu-Mureş, Romania; email: lalo@ms.sapientia.ro; Conference name: 8th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2011; Conference date: 28 July 2011 through 30 July 2011; Conference code: 85898 0 2018-03-09T08:26:40.000+0000 false 3344749 2026-04-27T13:23:03.940+0000 2025-03-19T07:03:41.096+0000 2018-03-07T22:55:15.000+0000 true 10013789 Szilágyi László /api/author/10013789 Author true 10013789 2025-05-22T20:48:22.362+0000 2025-05-22T20:48:22.362+0000 true false true 25 25 /api/publicationtype/25 PublicationType 2 true 25 BookChapter true 10000312 Conference paper true 25 25 /api/publicationtype/25 PublicationType 2 true 25 BookChapter /api/subtype/10000312 Konferenciaközlemény SubType 228 true 10000312 true 1 /api/category/1 Category true 1 Szilágyi, László Fuzzy-possibilistic product partition: A novel robust approach to c-means clustering 150 161 150 12 2011 One of the main challenges in the field of c-means clustering models is creating an algorithm that is both accurate and robust. In the absence of outlier data, the conventional probabilistic fuzzy c-means (FCM) algorithm, or the latest possibilistic-fuzzy mixture model (PFCM), provide highly accurate partitions. However, during the 30-year history of FCM, the researcher community of the field failed to produce an algorithm that is accurate and insensitive to outliers at the same time. This paper introduces a novel mixture clustering model built upon probabilistic and possibilistic fuzzy partitions, where the two components are connected to each other in a qualitatively different way than they were in earlier mixtures. The fuzzy-possibilistic product partition c- means (FP3CM) clustering algorithm seems to fulfil the initial requirements, namely it successfully suppresses the effect of outliers situated at any finite distance and provides partitions of high quality. 2018 true true true true false NONE 2026-04-27 false true 10013789 Szilágyi László /api/author/10013789 Author true 10013789 29 0 29 17 9 28 29 24 27 29 29 17 17 17 12 0 29 17 29 17 0 0 0 false false false false 2019-01-31T22:59:00.000+0000 2018-03-07T22:55:24.000+0000 1 13 0 1 0 true 272 true 10002 English /api/language/10002 Angol Language true 2 false true 10500 true 10011 /api/country/10011 Country true 5 /api/city/10500 City true 1028552 true 10489 true 10011 /api/country/10011 Country true 5 /api/city/10489 City true 1022992 true 18962357 /api/publicationidentifier/18962357 https://doi.org/10.1007/978-3-642-22589-5 10.1007/978-3-642-22589-5 PublicationIdentifier true 6 DOI https://doi.org/@@@ /api/publicationsource/6 DOI PlainSource true true 10001 /api/publicationsourcetype/10001 PublicationSourceType true true 6 true false true 1280842 /api/publicationidentifier/1280842 https://www.worldcat.org/search?q=isbn%3A9783642225888 9783642225888 PublicationIdentifier true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource true true 10002 /api/publicationsourcetype/10002 PublicationSourceType true false 122 true false /api/publication/3344748 true true 23 23 /api/publicationtype/23 PublicationType 3 true 23 Book Modeling Decisions for Artificial Intelligence 3344748 false 3344748 true SUSPECT true true true true 10000144 Conference proceedings true 23 23 /api/publicationtype/23 PublicationType 3 true 23 Book /api/subtype/10000144 Konferenciakötet SubType 345 true 10000144 false Book 2011 true 1 /api/category/1 Category true 1 false Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 9885396 /api/authorship/9885396 1 1.0 true false Author 10013789 /api/author/10013789 Szilágyi László true 10013789 true Szilágyi László true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false 27839874 true PublicationIdentifier 28778287 /api/publicationidentifier/28778287 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1007/978-3-642-22589-5_15 https://doi.org/10.1007/978-3-642-22589-5_15 false true PublicationIdentifier 28778286 /api/publicationidentifier/28778286 PlainSource 3 /api/publicationsource/3 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 79961157200 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-79961157200 false true /api/publication/3344749 <div class="BookChapter Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10013789"><a href="/gui2/?type=authors&mode=browse&sel=10013789" target="_blank">Szilágyi László (<span class="authorship-author-name">Szilágyi László</span> <span class="authorAux-mtmt"> Villamosmérnöki tudományok</span>) </a> </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;3344749" target="_blank">Fuzzy-possibilistic product partition: A novel robust approach to c-means clustering</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-name" >Torra V </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Narakawa Y </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Yin J </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Long J </span> (eds.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;3344748" target="_blank">Modeling Decisions for Artificial Intelligence </a></div> <div class="conference"> Conference: <span class="location">Changsha City, China <span class="conference-date">2011.07.28. - 2011.07.30.</span> </div> <span class="editionNumber">(1)</span> <span class="publishedAt">Heidelberg,</span> <span class="publishedAt">Berlin: <span class="publishers">Springer Dordrecht</span>, <span class="page"> pp 150-161 </span> <span class="year">(2011)</span> ( <span class="seriesTitle">Lecture Notes in Computer Science</span> <span class="issn">0302-9743</span> <span class="issn">1611-3349</span> <span class="seriesVolume">; 6820</span>) </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1007/978-3-642-22589-5_15" target="_blank" href="https://doi.org/10.1007/978-3-642-22589-5_15"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="79961157200" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-79961157200"> Scopus </a> </span> </span> <span class="bookchapter-ids">Book link(s):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="10.1007/978-3-642-22589-5" target="_blank" href="https://doi.org/10.1007/978-3-642-22589-5"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9783642225888" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9783642225888"> 9783642225888 </a> </span> </span> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="" class="citingPub-count">Citing papers: 29</span> | Independent citation: 17 | Self citation: 12 | Unknown citation: 0 | Number of citations in WoS: 24 | Number of citations in Scopus:&nbsp;27 | WoS/Scopus assigned:&nbsp;29 | Number of citations with DOI:&nbsp;29 </div> <div class="mtid"><span class="long-pub-mtid">Publication: 3344749</span> | <span class="status-data status-APPROVED"> Published </span> <span class="long-book-mtid">Book: 3344748</span> <span class="oldId">Old id: 3344749</span> | <span class="oldId">Book: 3344748</span> Core | <span class="type-subtype">Chapter in Book ( Conference paper ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Last Modified: 2025.03.19. 08:03 Zsuzsa Tamássyné T. (OE admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Comments</u>: Export Date: 13 March 2025; Cited By: 26; Correspondence Address: L. Szilágyi; Faculty of Technical and Human Science, Sapientia - Hungarian Science University of Transylvania, Tîrgu-Mureş, Romania; email: lalo@ms.sapientia.ro; Conference name: 8th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2011; Conference date: 28 July 2011 through 30 July 2011; Conferenc...</pre> </div> </div>